Metric

Calculate metric values given a metric definition

Parameters

Name	Type	Description	Is Optional
metrics	comparison_list	List of input metrics/calculations to plot
date_settings	timeseries_options	Date settings containing the start and end dates as well as the time grain which will be used to create the datespine for metric calculation. Time grain options are ('day', 'week', 'month', 'year', 'quarter', and 'all') Example: { 'start_date': '2021-12-01', 'end_date': '2022-07-01', 'time_grain': 'day' }
filters	filter_list	Filter logic on one or more columns. Can choose between a simple comparison filter or advanced filter using free text.	True
group_by_dimensions	dimension_list	Categorical column(s) by which to group the aggregated metrics. Including this argument will generate a new metric calculation for each distinct value in the group by column. If this column has more than 20 distinct values, the plot will not generate.	True

Example

ds = rasgo.get.dataset(id)

ds2 = ds.metric(
    metrics=[
      {
        "name": "AW_Sales_Revenue",
        "source_table": "RASGOLOCAL.PUBLIC.FQLUSMVCMIDATYSA",
        "type": "SUM",
        "target_expression": "SALESAMOUNT",
        "time_dimension": "ORDERDATE",
        "metric_dependencies": [],
      }
    ],
    filters=[],
    timeseries_options={
      "time_grain": "DAY",
      "start_date": {
        "direction": "past",
        "offset": 30,
        "datePart": "DAY",
        "type": "relative_date"
      },
      "end_date": {
        "direction": "past",
        "offset": 0,
        "datePart": "DAY",
        "type": "relative_date"
      }
    }
)
ds2.preview()

Source Code

RasgoTransforms/metric.sql at main · rasgointelligence/RasgoTransformsGitHub